AIMC Topic: Feces
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Machine learning-based characterization of the gut microbiome associated with the progression of primary biliary cholangitis to cirrhosis.
Microbes and infection
May 24, 2024
BACKGROUND: Primary biliary cholangitis (PBC) is associated closely with the gut microbiota. This study aimed to explore the characteristics of the gut microbiota after the progress of PBC to cirrhosis.
Prediction and causal inference of hyperuricemia using gut microbiota.
Scientific reports
Apr 30, 2024
Hyperuricemia (HUA) is a symptom of high blood uric acid (UA) levels, which causes disorders such as gout and renal urinary calculus. Prolonged HUA is often associated with hypertension, atherosclerosis, diabetes mellitus, and chronic kidney disease....
The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome.
Cell host & microbe
Apr 23, 2024
The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) are poorly understood. Herein, we characterized the gut microbiome in heterogeneous cohorts of subjects with PACS and developed a multi-label machine ...
Identification of KRAS mutation-associated gut microbiota in colorectal cancer and construction of predictive machine learning model.
Microbiology spectrum
Apr 4, 2024
Gut microbiota has demonstrated an increasingly important role in the onset and development of colorectal cancer (CRC). Nonetheless, the association between gut microbiota and KRAS mutation in CRC remains enigmatic. We conducted 16S rRNA sequencing o...
Artificial Intelligence-Enabled Stool Analysis for Lactulose Titration Assistance in Hepatic Encephalopathy Through a Smartphone Application.
The American journal of gastroenterology
Jan 19, 2024
INTRODUCTION: Management of hepatic encephalopathy relies on self-titration of lactulose. In this feasibility trial, we assess an artificial intelligence-enabled tool to guide lactulose use through a smartphone application.
Artificial Intelligence Evaluation of Stool Quality Guides Management of Hepatic Encephalopathy Using a Smartphone App.
The American journal of gastroenterology
Dec 28, 2023
Lactulose-based hepatic encephalopathy treatment requires bowel movements/day titration, which is improved with Bristol stool scale (BSS) incorporation. Dieta app evaluates artificial intelligence (AI)-based BSS (AI-BSS) with stool images. Initially,...
Development of fecal microbial diagnostic marker sets of colorectal cancer using natural language processing method.
The International journal of biological markers
Dec 21, 2023
BACKGROUND: Cancer screening and early detection greatly increase the chances of successful treatment. However, most cancer types lack effective early screening biomarkers. In recent years, natural language processing (NLP)-based text-mining methods ...
[Development of the use of artificial intelligence in the management of chronic inflammatory bowel disease].
Annales de pathologie
Mar 28, 2023
Complexity of inflammatory bowel diseases (IBD) lies on their management and their biology. Clinics, blood and fecal samples tests, endoscopy and histology are the main tools guiding IBD treatment, but they generate a large amount of data, difficult ...
Generation and application of a convolutional neural networks algorithm in evaluating stool consistency in diapers.
Acta paediatrica (Oslo, Norway : 1992)
Mar 7, 2023
AIM: The aim of the study was to develop a deep convolutional neural networks (CNNs) algorithm for automated assessment of stool consistency from diaper photographs and test its performance under real-world conditions.
Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses.
Scientific reports
Feb 14, 2022
Food safety and foodborne diseases are significant global public health concerns. Meat and poultry carcasses can be contaminated by pathogens like E. coli and salmonella, by contact with animal fecal matter and ingesta during slaughter and processing...
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